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Explore my AI toolbox

The full toolbox: LangGraph and LangChain for agent orchestration, Azure AI Foundry and OpenAI for models, Pinecone and Azure AI Search for retrieval, RAGAS and LangSmith for evaluation — plus the data engineering foundations underneath it all.

Production tech stack

Production-grade AI tooling and LLMOps frameworks.

What ties it together

The tools change depending on the problem, but the goal stays the same: grounded answers, reliable workflows, and systems teams can keep using after launch.

Grounded retrievalAgent orchestrationLLM evalsTeam-ready deployment

GenAI & LLMs

01

Building end-to-end LLM systems, agent workflows, and prompt strategies teams can rely on.

RAG systemsAgent workflowsPrompt design

Often includes

RAG ArchitectureAgentic AIModel Context ProtocolLangGraphLangChainLlamaIndexHugging FaceOpenAIAzure OpenAILoRA/PEFTPrompt EngineeringBERT/T5AI AgentsA2A ProtocolHuman-in-the-Loop

Azure AI

02

Building AI solutions on Azure with cloud services, search, deployment patterns, and data tooling.

Azure AI FoundrySearch and orchestrationTeam-ready deployment

Often includes

Azure AI FoundryCopilot StudioAzure AI SearchAzure FunctionsAzure Key VaultPromptFlowAzure KubernetesAzure Data LakeAzure DatabricksAzure Data Factory

Evaluation & Quality

03

Measuring retrieval and answer quality so AI systems improve with clear feedback loops.

LLM evaluationRetrieval qualityExperiment tracking

Often includes

BLEUROUGERecall@kNDCGF1 ScoreRAGASLangSmithLangfusePromptfoo

Vector Databases

04

Building retrieval layers with semantic indexing, hybrid search, and embedding pipelines for fast, accurate lookup.

Vector searchHybrid retrievalEmbedding strategy

Often includes

PineconeFAISSChromaDBPgvectorHybrid SearchSemantic SearchEmbeddings

LLMOps

05

Keeping AI applications dependable with deployment workflows, monitoring, orchestration, and automation.

DeploymentMonitoringAutomation

Often includes

GitDockerKubernetesFastAPICI/CDAirflowRedisMLflowAzure DevOpsMonitoring

Programming & Data

06

Strong foundations in Python, ML tooling, and data platforms that support dependable delivery.

Python and MLData engineeringAnalytics workflows

Often includes

PythonPyTorchTensorFlowSQLPandasNumPyPySparkTypeScript/ReactKafkaData ModelingUnity CatalogDelta Lake

Keep exploring

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